Risk-Bearing and the Theory of Income Distribution
AbstractThis paper develops the stochastic theory of distribution with a dynamic model that focuses on the role of incomplete insurance in generating inequality. Unlike previous work, the authors' approach takes explicit account of the reason for market incompleteness in modeling agents behavior; in particular, the amount of risk borne is endogenous. Using a model of growth with altruism in which agents are risk-averse and there is moral hazard, they show that lineage wealth follows a Markov process which converges globally to an ergodic distribution; this also represents the long-run population distribution of wealth. The authors discuss the role of particular assumptions. Copyright 1991 by The Review of Economic Studies Limited.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Northwestern University, Center for Mathematical Studies in Economics and Management Science in its series Discussion Papers with number 877.
Date of creation: Oct 1989
Date of revision:
Contact details of provider:
Postal: Center for Mathematical Studies in Economics and Management Science, Northwestern University, 580 Jacobs Center, 2001 Sheridan Road, Evanston, IL 60208-2014
Web page: http://www.kellogg.northwestern.edu/research/math/
More information through EDIRC
Other versions of this item:
- Banerjee, Abhijit V & Newman, Andrew F, 1991. "Risk-Bearing and the Theory of Income Distribution," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 211-35, April.
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fran Walker).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.